與「Maonian Wu」相符的使用者個人學術檔案

Maonian Wu

Huzhou University
在 zjhu.edu.cn 的電子郵件地址已通過驗證
被引用 305 次

Research on an intelligent lightweight‐assisted pterygium diagnosis model based on anterior segment images

B Zheng, Y Liu, K He, M Wu, L Jin, Q Jiang… - Disease …, 2021 - Wiley Online Library
Aims. The lack of primary ophthalmologists in China results in the inability of basic‐level
hospitals to diagnose pterygium patients. To solve this problem, an intelligent‐assisted …

Screening of common retinal diseases using six-category models based on EfficientNet

S Zhu, B Lu, C Wang, M Wu, B Zheng, Q Jiang… - Frontiers in …, 2022 - frontiersin.org
Purpose A six-category model of common retinal diseases is proposed to help primary medical
institutions in the preliminary screening of the five common retinal diseases. Methods A …

Enhanced matrix inference with Seq2seq models via diagonal sorting

W Peng, Y Wang, M Wu - Scientific reports, 2024 - nature.com
The effectiveness of sequence-to-sequence (seq2seq) models in natural language processing
has been well-established over time, and recent studies have extended their utility by …

Defect intelligent recognition of membrane product based on deep learning

M Wu, L Li, W Peng, T Wu, J Yu… - Measurement and …, 2024 - journals.sagepub.com
Defect detection plays a crucial role in the manufacturing industry, ensuring the quality of
industrial products. Despite advancements in this field, current defect detection methods face …

Neuro-symbolic recommendation model based on logic query

M Wu, B Chen, S Zhu, B Zheng, W Peng… - Knowledge-Based …, 2024 - Elsevier
Recommendation systems assist users in finding items that are relevant to them. However,
recommendation is not only an inductive statistics problem using data; it is also a cognitive …

Research on an artificial intelligence-based myopic maculopathy grading method using EfficientNet

B Zheng, M Zhang, S Zhu, M Wu, L Chen… - Indian journal of …, 2024 - journals.lww.com
Purpose: We aimed to develop an artificial intelligence-based myopic maculopathy grading
method using EfficientNet to overcome the delayed grading and diagnosis of different …

[HTML][HTML] MTS-YOLO: A Multi-Task Lightweight and Efficient Model for Tomato Fruit Bunch Maturity and Stem Detection

M Wu, H Lin, X Shi, S Zhu, B Zheng - Horticulturae, 2024 - mdpi.com
The accurate identification of tomato maturity and picking positions is essential for efficient
picking. Current deep-learning models face challenges such as large parameter sizes, single-…

Pterygium screening and lesion area segmentation based on deep learning

S Zhu, X Fang, Y Qian, K He, M Wu… - Journal of …, 2022 - Wiley Online Library
A two‐category model and a segmentation model of pterygium were proposed to assist
ophthalmologists in establishing the diagnosis of ophthalmic diseases. A total of 367 normal …

Prediction of spherical equivalent refraction and axial length in children based on machine learning

S Zhu, H Zhan, Z Yan, M Wu, B Zheng… - Indian Journal of …, 2023 - journals.lww.com
Purpose: Recently, the proportion of patients with high myopia has shown a continuous
growing trend, more toward the younger age groups. This study aimed to predict the changes in …

Attitudes of medical workers in China toward artificial intelligence in ophthalmology: a comparative survey

…, M Wu, S Zhu, H Zhou, X Hao, F Fei, Y Jia, J Wu… - BMC Health Services …, 2021 - Springer
Background In the development of artificial intelligence in ophthalmology, the ophthalmic AI-related
recognition issues are prominent, but there is a lack of research into people’s …